def race_search():
"""Gets information from the goal form, gets it in a form
to make an API call, makes the call, gets the JSON back, de-dups
it, then sends the info to the front end."""
goal = request.args.get("goal")
zipcode = request.args.get("zipcode")
fitness = int(request.args.get("fitness_level"))
run_length_history = int(request.args.get("run_length_history"))
# Base date is the date that the goal is being made. The date
# range for the race search is based on when the goal is created.
base_date = date.today()
# Date range returns a tuple a minimum number of weeks
# in the future to look for a date and a maximum number of weeks.
date_range = goals.determine_date_range(goal, fitness, run_length_history)
# min_date is the earliest to look for a race.
min_date = base_date + timedelta(date_range[0]*7)
# max date is the latest to look for a race.
max_date = base_date + timedelta(date_range[1]*7)
# Setting up and executing the API call.
# I decided to go with quality data over quantity.
# URL will only return results that have a url associated with the organizer.
activity_request_url = "http://api.amp.active.com/v2/search?attributes=" + model.distance_dictionary[goal] + "&category=event&start_date=" + str(min_date) +".."+str(max_date)+"&near="+str(zipcode)+ "&exists=homePageUrlAdr&api_key="+ACTIVEDOTCOM_KEY
activity_request = requests.get(activity_request_url)
content = activity_request.content
content_dictionary = json.loads(content)
results = content_dictionary[u'results']
unique_content = []
for i in range(len(results)-1):
do_not_append_content = False
for j in range(i + 1, len(results)):
if results[i]['homePageUrlAdr'] == results[j]['homePageUrlAdr']:
do_not_append_content = True
else:
pass
if do_not_append_content == True:
pass
else:
unique_content.append(results[i])
json_content = json.dumps(unique_content)
return json_content
def no_race_search():
goal = request.args.get("goal")
fitness = int(request.args.get("fitness_level"))
run_length_history = int(request.args.get("run_length_history"))
base_date = date.today()
date_range = goals.determine_date_range(goal, fitness, run_length_history)
# min_date is a minimum good date to set.
min_date = base_date + timedelta(date_range[0]*7)
# max date is the later good date to set, so the user doesn't take it too easy.
max_date = base_date + timedelta(date_range[1]*7)
min_date = datetime.strftime(min_date, "%m-%d-%Y")
max_date = datetime.strftime(max_date, "%m-%d-%Y")
dates = [min_date, max_date]
json_output = json.dumps(dates)
return json_output